Microeconometrics Using Stata (Broché)

Aimed at both students and researchers of economics and related social sciences, Microeconometrics Using Stata, Revised Edition provides the most complete and up-to-date survey of microeconometric methods available in Stata, including linear regression, simulation, instrumental-variables estimation, quantile regression, random- and fixed-effects models, linear mixed models, analytical and bootstrap inference, and nonlinear models for binary, multinomial, censored, and count outcomes for both cross-sectional and panel datasets.
This revised edition incorporates new features added in Stata 11 that make it easier to implement methods presented in the original edition of the book-factor variables, the margins command for marginal effects, and the gmm command. Colin Cameron is a professor of economics at the University of California-Davis where he teaches econometrics at undergraduate and graduate levels, as well as an undergraduate course in health economics.
He has additionally taught several short courses in econometrics in Europe and Australia. His research interests span a range of topics within microeconometrics. He is a past director of the Center on Quantitative Social Science Research at UC-Davis and is currently an associate editor of the Stata Journal. Pravin K. Trivedi is currently the J.H. Rudy professor in the Department of Economics at Indiana University-Bloomington.
During his academic career, he has taught undergraduate-and graduate-level econometrics in the United States, Europe, and Australia. His research interests are in microeconometrics and health economics. He served as coeditor of the Econometrics Journal from 2000-2007 and has been on the editorial board of the Journal of Applied Econometrics since 1988. He has coauthored (with David Zimmer) Copula Modeling in Econometrics : An Introduction for Practitioners (2007).
Cameron and Trivedi's joint work includes research articles on econometric models and tests for count data, the Econometric Society monograph Regression Analysis of Count Data, and the graduate-level text Microeconometrics : Methods and Applications.